Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing
There is often a large amount of maintenance data already available for use in Smart Manufacturing systems, but in a currently-unusable form: service tickets and maintenance work orders (MWOs). Nestor is a toolkit for using Natural Language Processing (NLP) with efficient user-interaction to perform structured data extraction with minimal annotation time-cost.
Resources
1 resource available
-
DOI Access for Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing
TEXT/HTML
Find Related Datasets
Search by Tags
Click any tag below to search for similar datasets
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[
"006:55"
]
|
| contactPoint |
{
"fn": "Rachael Sexton",
"hasEmail": "mailto:rachael.sexton@nist.gov"
}
|
| description | There is often a large amount of maintenance data already available for use in Smart Manufacturing systems, but in a currently-unusable form: service tickets and maintenance work orders (MWOs). Nestor is a toolkit for using Natural Language Processing (NLP) with efficient user-interaction to perform structured data extraction with minimal annotation time-cost. |
| distribution |
[
{
"title": "DOI Access for Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing",
"format": "text/html",
"accessURL": "https://doi.org/10.18434/T4/1502464",
"description": "DOI Access for Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing"
}
]
|
| identifier | 6D99882718D36079E05324570681AAD11932 |
| keyword |
[
"CMMS",
"communication",
"data cleaning",
"decision guidance",
"diagnostics",
"event sequences",
"information",
"investigations",
"machine learning",
"maintenance",
"manufacturing operations",
"manufacturing performance",
"nestor",
"prognostics",
"scheduling",
"smart manufacturing",
"training",
"tribal knowledge",
"visualization"
]
|
| landingPage | https://github.com/usnistgov/nestor |
| language |
[
"en"
]
|
| license | https://www.nist.gov/open/license |
| modified | 2018-06-01 00:00:00 |
| programCode |
[
"006:045"
]
|
| publisher |
{
"name": "National Institute of Standards and Technology",
"@type": "org:Organization"
}
|
| references |
[
"https://dx.doi.org/10.1109/BigData.2017.8258120"
]
|
| theme |
[
"Information Technology:Data and informatics",
"Information Technology:Usability and human factors",
"Manufacturing:Manufacturing systems design and analysis",
"Manufacturing:Work force",
"Mathematics and Statistics:Statistical analysis"
]
|
| title | Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing |
